As a Data Management Lead in the Asset & Wealth Management Chief Data Office (AWM CDO) team, you will address existing skills gaps, document requirements, conduct in-depth data analysis, and ensure data governance across our global Client Reporting (CR) data domains. This position will play a key role in supporting the Client Reporting Transformation Initiative, a multi-year strategic program aimed at transforming how we design, customize, and publish information to our clients through digital and other channels.
Job responsibilities:
- Collect data from various sources, streamline data collection methods, and design frameworks and data systems to support efficient data management and analysis.
- Analyze and interpret collected data, format it for easy understanding, and conduct detailed analysis to identify trends and insights for data-driven decision-making.
- Leverage automated solutions and tools such as Python, SQL, Tableau, and Alteryx to support sophisticated dashboarding and documentation of data needs.
- Liaise with CR business stakeholders and cross-functional teams to gather business requirements and translate them into technical specifications.
- Integrate core data governance and lineage principles to ensure alignment of client reporting data needs and uphold data lineage across domains. Define and enforce data governance policies and procedures, including data quality standards, data integration, data security, and privacy..
Required qualifications, skills and capabilities:
- Bring minimum 10 years experience in data-related initiatives, ideally within a major financial institution, with strong expertise in data and analytics, particularly in Client Reporting/Asset Management and Investment Accounting data domains.
- Demonstrate advanced technical skills, including proficiency in Python, SQL, Tableau, Alteryx, and other automation tools, along with excellent communication skills to convey complex data concepts to non-technical stakeholders.
- Exhibit strong business acumen and the ability to address business needs, collaborate effectively across teams, and build strong stakeholder relationships, while conducting in-depth data analysis to identify actionable insights.
- Hold a minimum of a Bachelor's Degree in Computer Science, Math, Statistics, or a related field.
Preferred qualifications, skills and capabilities:
- Certifications such as Certified Associate (CCA) Data Analyst, or Certified Analytics Professional (CAP) are advantageous
- Master's degree in engineering or computer science, and possess a creative mindset for designing innovative data solutions. science is preferred.